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arXiv 2024年

作者： Geylan, Gökçe Janet, Jon Paul Tibo, Alessandro He, Jiazhen Patronov, Atanas Kabeshov, Mikhail david, Florian Czechtizky, Werngard Engkvist, Ola de Maria, Leonardo BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Division of Systems and Synthetic Biology Department of Life Sciences Chalmers University of Technology Gothenburg Sweden BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Medicinal Chemistry Research and Early Development BioPharmaceuticals R&D AstraZeneca Gothenburg Sweden Department of Computer Science and Engineering Chalmers University of Technology University of Gothenburg Gothenburg Sweden

Peptides play a crucial role in the drug design and discovery whether as a therapeutic modality or a delivery agent. Non-natural amino acids (NNAAs) have been used to enhance the peptide properties from binding affinity, plasma stability to permeability. Incorporating novel NNAAs facilitates the design of more effective peptides with improved properties. The generative models used in the field, have focused on navigating the peptide sequence space. The sequence space is formed by combinations of a predefined set of amino acids. However, there is still a need for a tool to explore the peptide landscape beyond this enumerated space to unlock and effectively incorporate de novo design of new amino acids. To thoroughly explore the theoretical chemical space of the peptides, we present PepINVENT, a novel generative AI-based tool as an extension to the small molecule molecular design platform, rEINVENT. PepINVENT navigates the vast space of natural and non-natural amino acids to propose valid, novel, and diverse peptide designs. The generative model can serve as a central tool for peptide-related tasks, as it was not trained on peptides with specific properties or topologies. The prior was trained to understand the granularity of peptides and to design amino acids for filling the masked positions within a peptide. PepINVENT coupled with reinforcement learning enables the goal-oriented design of peptides using its chemistry-informed generative capabilities. This study demonstrates PepINVENT’s ability to explore the peptide space with unique and novel designs, and its capacity for property optimization in the context of therapeutically relevant peptides. Our tool can be employed for multi-parameter learning objectives, peptidomimetics, lead optimization, and variety of other tasks within the peptide domain. © 2024, CC BY.

关键词： Amino acids

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Improving Waste-Incineration Energy recovery Efficiency Using a reverse Calculation Algorithm to Estimate Waste Composition and Heating Value

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SSrN 2024年

作者： Lim, Minseob Kim, Seongil Lee, Youngjae Lee, Yongwoon Yang, Won Low-Carbon Emission Control R&D Department Research Institute of Sustainable Development Technology Korea Institute of Industrial Technology Chungcheongnam-do Cheonan Korea Republic of

Waste incineration has emerged as an increasingly important method for treating waste, ensuring stable waste disposal and offering the advantage of producing and utilizing thermal energy from the incineration process, thereby reducing reliance on fossil fuels. Understanding the composition and heating value of waste is important to ensure efficient waste management. However, information on waste composition and heating vary widely. Currently, in waste incinerator facilities, the heating value of waste is calculated;however, this method cannot ensure the accuracy of the overall application of incinerator facilities. To address this, this study calculated waste-related parameters (for heating value and composition) via an integrated reverse calculation algorithm, using real-time operational data. Using these values, we enhanced the accuracy of energy recovery efficiency calculations by developing a simulation model for the target system. Based on the model, we propose an operational improvement to increase the energy recovery efficiency of the target waste-incinerator system. Using the proposed method, energy recovery efficiency increased by approximately 10% relative to that of the existing incinerator operation. The methodology developed in this study can be applied to various incinerator systems. Our study findings contribute to the more accurate determination of energy recovery efficiency necessary for the effective implementation of waste-management policy in South Korea. © 2024, The Authors. All rights reserved.

关键词： Waste incineration

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A 3d attention U-Net network and its application in geological model parameterization

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Petroleum Exploration and development 2023年第1期50卷 183-190页

作者： LI Xiaobo LI Xin YAN Lin ZHOU Tenghua LI Shunming WANG Jiqiang LI Xinhao AI Research Center Research Institute of Petroleum Exploration and DevelopmentPetroChinaBeijing 100083China Artificial Intelligence Technology R&D Center for Exploration and Development CNPCBeijing 100083China Department of Oilfield Development Research Institute of Petroleum Exploration and DevelopmentPetroChinaBeijing 100083China

To solve the problems of convolutional neural network–principal component analysis(CNN-PCA)in fine description and generalization of complex reservoir geological features,a 3d attention U-Net network was proposed not using a trained C3d video motion analysis model to extract the style of a 3d model,and applied to complement the details of geologic model lost in the dimension reduction of PCA method in this *** 3d attention U-Net network was applied to a complex river channel sandstone reservoir to test its *** results show that compared with CNN-PCA method,the 3d attention U-Net network could better complement the details of geological model lost in the PCA dimension reduction,better reflect the fluid flow features in the original geologic model,and improve history matching results.

关键词： reservoir history matching geological model parameterization deep learning attention mechanism 3d U-Net

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research on Business Center Monitoring System Based on Business Emergency System of Power Grid Company 5

Research on Business Center Monitoring System Based on Busin...

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5th International Conference on System reliability and Safety Engineering, SrSE 2023

作者： Kang, Kai Liu, Yi Yi Zhang, Li Shou Bi, Qing He, Li Kui Zhang, Yuan Yuan State Grid Shanghai Electric Power Company Information and Communication Company Information Construction and Operation Center Shanghai China R&d Center Shanghai Xinneng Information Technology Development Company Shanghai China Shanghai Zimu Information Technology Company Business Analysis Department Shanghai China

ISBN: (纸本)9798350305944

The purpose of this paper is to introduce the research related to the business center monitoring system based on the emergency response system of the business center of the power grid company. The business monitoring of the business center determines to a certain extent the basis of the stable and continuous operation of the business center. Through the research on the business indicator monitoring system of the business platform emergency system, it can provide sufficient support for the business development of the power grid company. It can also provide assistance for the operation of various businesses and play a certain role in guiding. In this paper, through the overall architecture design and key technology research on the corresponding business indicator monitoring system of the business center, a complete set of business indicator monitoring system specifications based on the emergency system of the business center of the grid company is obtained. It will provide the basis and guidance for the actual construction of the subsequent system, reduce the system construction cycle and the uncertainty of the construction, as well as help the business center flexibly and quickly adapt to the changes of the business development. Meanwhile, it will also help the business center adapt flexibly and quickly to business development changes. © 2023 IEEE.

关键词： Specifications

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Hox-determined appendage regeneration restores cockroach courtship rituals

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Science China(Life Sciences) 2025年第3期68卷 874-876页

作者： Xingmei Mai Mingtao Liao Fangming Zhao Ethan Yihao Li Fangzheng Liu renaguli Aisa Sichen Wu Nan Chen Sheng Li Chonghua ren Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology Guangzhou Key Laboratory of Insect Development Regulation and Application ResearchInstitute of Insect Science and TechnologySchool of Life SciencesSouth China Normal UniversityGuangzhou 510631China Guangmeiyuan R&D Center Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied TechnologySouth China Normal UniversityMeizhou 514779China High School Affiliated to South China Normal University Guangzhou 510631China Xinyang Aviation Vocational College Xinyang 464006China

dear Editor,The German cockroach,Blattella germanica(Insecta,Blattodea),is one of the most synanthropic cosmopolitan pests affecting public health,which is often described as“little mighty”because of its extreme vitality and *** characterization in cockroaches is primarily due to two crucial biological traits,strong regenerative capacity and excellent fecundity(ren et al.,2023),but nothing is known about the underlying relationship between these two traits in terms of physiology and *** have evolved diverse appendages(***,labial palp,maxillary palp,leg,wing,and cercus)that are used for locomotion,feeding,communication,and other vital functions(Chen et al.,2022;Li et al.,2024).As a crucial adaptive strategy,appendage regeneration enables animals to restore injured body parts and their associated functions(Tanaka,2016),significantly enhancing survival ability and ecological adaptation(Zhong et al.,2023).Moreover,cockroaches exhibit extremely prominent capacity of leg regeneration in the insect kingdom(Li et al.,2018;ren et al.,2024;Zhang et al.,2024).

关键词： traits antenna regeneration

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dynamic distribution and temporal transcriptome adaptations elucidate lithium accumulation pattern in Cardamine violifolia

Environmental Chemistry and Ecotoxicology

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Environmental Chemistry and Ecotoxicology 2025年 7卷 1106-1118页

作者： Lulu Chen Mingwei Yue Xiaomeng Liu Xin Cong Shuiyuan Cheng Shen rao National R&D Center for Se-rich Agricultural Products Processing Technology School of Modern Industry for Selenium Science and Engineering Wuhan Polytechnic University Wuhan 430048 China Enshi Se-Run Material Engineering Technology Co. Ltd Enshi 445000 China

The growing use of electronic devices and power batteries has introduced lithium (Li) as a new environmental contaminant. However, knowledge on the toxicity of Li to plants remains scarce. In this study, Cardamine violifolia was exposed to 200 mg L −1 of LiCl, with samples collected on 3, 6, 9, and 12 d. results showed that Li concentration in C. violifolia increased over time. By 12 d, the shoots and roots accumulated 164.67 mg kg −1 and 8.41 mg kg −1 FW of Li, respectively. Li was primarily found in the blade edges and was mainly distributed in cell walls and soluble components. Activities of peroxidase (POd), superoxide dismutase (SOd), catalase (CAT), and ascorbate peroxidase (APX) enzymes were significantly increased under Li exposure. Transcriptome analysis identified 15,810 differentially expressed genes (dEGs). In the shoots, dEGs were enriched in plant hormone signal transduction, phenylpropanoid biosynthesis, and pentose and glucuronate interconversion pathways. In the roots, dEGs were mainly enriched in phagosome and ribosome pathways. Weighted gene co-expression network analysis indicated that potassium transporter 5 ( HAK5 ), potassium transporter 9 ( KT9 ), metal transporter ( Nramp ), metal-nicotianamine transporter ( YSL ), Glutathione S-transferase U ( GSTU ), potassium channel ( KAT ), nitrate transporter ( NrT1 ), heavy metal-associated isoprenylated plant protein ( HMA ), odium/calcium exchanger ( NCL ), and ATP-binding cassette transporter C family member ( ABCC ) genes may be involved in Li uptake and transport in C. violifolia . This study systematically revealed the unique distribution patterns of Li in C. violifolia . By integrating physiological, biochemical, and transcriptomic analyses, we identified multiple gene families associated with Li transport in plants. These findings not only provide novel insights into the spatial regulatory mechanisms underlying plant responses to emerging pollutants but also establish a theoretical foundation

关键词： Cardamine violifolia distribution Gene regulation Lithium Uptake

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Improving Customer Experience Using a Hybrid decision Tree and Support Vector Machine Approach 1

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7th International Conference on Intelligent Computing and Optimization, ICO 2023

作者： ravisankar, A. Kumaraperumal, S. Karthikeyan, M. Chohan, Jasgurpreet Singh Kalita, Kanak Department of Management Studies Erode Sengunthar Engineering College Erode India CVV Institute of Science and Technology Chinmaya Vishwa Vidyapeeth Onakoor Kerala Emakulam India Department of Business Administration Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi 600062 India Department of Mechanical Engineering University Centre for Research & Development Chandigarh University Mohali140413 India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi600062 India Jadara University Research Center Jadara University Irbid Jordan

ISBN: (数字)9783031508875

ISBN: (纸本)9783031508868

In the competitive telecommunications sector, enhancing customer experience (CE) is crucial for business success. The Net Promoter Score (NPS) is a key indicator of customer loyalty and satisfaction. To boost CE, operators monitor Quality of Experience (QoE) metrics, such as call drop rates, successful installation rates, and data transmission speeds, to identify and address service shortcomings. However, analyzing the primary drivers of NPS remains challenging. This study introduces a hybrid approach combining decision trees (dT) and support vector machines (SVM) to advance CE in telecommunications. This method utilizes SVM for predictive modeling of CE and dT to determine the significant factors affecting it. Customer satisfaction data from a telecommunications provider validates the proposed hybrid model's effectiveness. results demonstrate the model's ability to accurately predict CE and identify essential influencing factors, offering practical implications for companies aiming to enhance customer satisfaction and overall CE. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Sales

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High-voltage converter with 2 kV SiC MOSFETs for electric fast charging stations

High-voltage converter with 2 kV SiC MOSFETs for electric fa...

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2024 Energy Conversion Congress and Expo Europe, ECCE Europe 2024

作者： derix, david Blaum, Christian Kruschel, Wolfram Heer, daniel Hensel, Andreas Pfeiffer, Jonas Mier, Ainhoa Puyadena Mena Carrillo, Juan Thoma, Jurgen drexler, Christoph Schmidhuber, Michael Friedrichs, Peter Power Electronics and Grid Integration Fraunhofer Institute for Solar Energy Systems Freiburg Germany Advance R&d Sumida Components & Modules GmbH Germany Power Module Development Infineon Technologies Ag Warstein Germany Technical Marketing Infineon Technologies Ag Warstein Germany Business Excellence Infineon Technologies Ag Munich Germany Technology Development Infineon Technologies Ag Erlangen Germany

ISBN: (纸本)9798350364446

In this project, the power electronic system technology for future high-performance charging systems along highways or large inner-city electric charging stations with several MVA system sizes with reduced material demand is presented. The concept is based on a dC bus with 1.5 kV and corresponding high efficient power electronics to connect the vehicles to the dC grid. This approach leads to a cost-efficient system. Key components are an electrically isolated dC converter based on 2 kV SiC power modules and an inductive transformer with switching frequencies up to 50 kHz and an output power of 175 kW. © 2024 IEEE.

关键词： Fast charging (Batteries)

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Enhancing Internet Connectivity in remote Areas of Malaysia using direct-to-device Satellite technology

Enhancing Internet Connectivity in Remote Areas of Malaysia ...

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Asia-Pacific Conference on Applied Electromagnetics, APACE

作者： Siti Maisurah Binti Mohd Hassan Azah Syafiah Binti Mohd Marzuki Mardeni Bin roslee COE for Intelligent Network Research & Innovation Development TM R&D Sdn. Bhd. Cyberjaya Malaysia COE for Intelligent Network Research & Innovation Development TM R&D Cyberjaya Cyberjaya Malaysia Centre for Wireless Technology COE for Intelligent Network Multimedia University Cyberjaya Malaysia

ISBN: (数字)9798350364163

ISBN: (纸本)9798350364170

The internet connectivity gap in Malaysia remains a challenge, especially in rural and remote areas with difficult terrain. This paper explores the feasibility of direct-to-device (d2d) satellite technology as a solution to extend coverage in these underserved regions. An overview of d2d technology is provided, discussing key technological approaches related to spectrum use and standards. The capabilities of d2d technology in meeting Malaysia’s specific requirements are analyzed. Supported by government initiatives and advancements in the industry, d2d satellite services could become a key driver in achieving 100% internet coverage in Malaysia’s populated areas.

关键词： Performance evaluation Satellite constellations Satellites Predictive models device-to-device communication Uplink Standards Wideband Testing Narrowband

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A feasible route to produce 1.1 GPa ferritic-based low-Mn lightweight steels with ductility of 47%

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Journal of materials Science & technology 2022年第22期117卷 225-237页

作者： Kwang Kyu Ko Hyo Ju Bae Eun Hye Park Hyeon-Uk Jeong Hyoung Seok Park Jae Seok Jeong Jung Gi Kim Hyokyung Sung Nokeun Park Jae Bok Seol Department of Materials Engineering and Convergence Technology Center for K-metalGyeongsang National University(GNU)Jinju 52828South Korea School of Materials Science and Engineering Yeungnam UniversityGyeongbuk 38541South Korea Materials Research Team R&D Hyundai MobisYongin 16891South Korea Materials Technology Development Team Doosan Heavy Industries&ConstructionChangwon 51711South Korea

High- and medium-Mn (H/M-Mn) base lightweight steels are a class of ultrastrong structural materials with high ductility compared to their low-Mn counterparts with low strength and poor ***, producing these H/M-Mn materials requires the advanced or high-tech manufacturing techniques, which can unavoidably provoke labor and cost concerns. Herein, we have developed a facilestrategy that circumvents the strength–ductility trade-off in low-Mn ferritic lightweight steels, by employing low-temperature tempering-induced partitioning (LTP). This LTP treatment affords a typical Fe-2.8Mn-5.7Al-0.3C (wt.%) steel with a heterogeneous size-distribution of metastable austenite embeddedin a ferrite matrix for partitioning more carbon into smaller austenite grains than into the larger austenite ones. This size-dependent partitioning results in slip plane spacing modification and lattice strain,which act through dislocation engineering. We ascribe the simultaneous improvement in strength andtotal elongation to both the size-dependent dislocation movement in austenite grains and the controlleddeformation-induced martensitic transformation. The low-carbon-partitioned large austenite grains increase the strength and ductility as a consequence of the combined martensitic transformation andhigh dislocation density-induced hardening and by interface strengthening. Additionally, high-carbonpartitioned small austenite grains enhance the strength and ductility by planar dislocation glide (inthe low strain regime) and by cross-slipping and delayed martensitic transformation (in the high strainregime). The concept of size-dependent dislocation engineering may provide different pathways for developing a wide range of heterogeneous-structured low-Mn lightweight steels, suggesting that LTP maybe desirable for broad industrial applications at an economic cost.

关键词： Low-Mn lightweight steel Carbon partitioning Metastable austenite dislocation movement

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